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app.py

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+import warnings
+warnings.simplefilter('default', DeprecationWarning)
+
+from fpdf import FPDF
+import pandas as pd
+import streamlit as st
+from datetime import datetime
+
+def generate_pdf(df):
+  num_students = df.shape[0]
+  page_body_list = []
+  for i in range(num_students):
+    if(df.at[i, 'Exam Status'] == "Approved"): # only generates for students who are approved, not for those who are "processing" or "cancelled"
+      # get the data
+      studentName = df.at[i, 'Student']
+      course = df.at[i, 'Course']
+      date = df.at[i, 'Date']
+      loc = df.at[i, 'Exam_Location']
+      scheduled_start_time = df.at[i, 'Time_Start']
+      scheduled_end_time = df.at[i, 'Time_End']
+
+      # format data with labels
+      studentName = " ".join(["Student's Name:", studentName])
+      course = " ".join(["Course:", course])
+      date = " ".join(["Date:", date])
+      if loc == loc:
+        loc = " ".join(["Location:", loc])
+      else:
+        loc = "Location: __________________"
+      scheduled_start_time = " ".join(["Scheduled Start Time:", scheduled_start_time])
+      scheduled_end_time = " ".join(["Scheduled End Time:", scheduled_end_time])
+
+      # put grouped info together
+      student_info = "\n".join([studentName, course, date, loc])
+      scheduled_time = "\n".join([scheduled_start_time, scheduled_end_time])
+      student_info_and_scheduled_time = "\n".join([student_info, scheduled_time])
+      notes = "Additional Information:\n____________________________________________________________________\n____________________________________________________________________\n____________________________________________________________________\n____________________________________________________________________"
+      actual_time = "\n\n\n".join(["Actual Start Time: _____________________________________________________", "Estimated/Adjusted End Time: ___________________________________________", "Actual End Time: ______________________________________________________"])
+      proctor = "\n\nProctor's Signature: _______________________    Date: _______________________"
+
+      # construct the body of the pdf
+      body = "\n\n\n".join([student_info_and_scheduled_time, notes, actual_time, proctor])
+
+      # add this student's info to the list
+      page_body_list.append(body)
+
+  pdf = FPDF()
+  for i in range(len(page_body_list)):
+    pdf.add_page()
+
+    pdf.image("VandyStudentAccessLogo.png", 40, 10, w=120)
+
+    pdf.set_font('helvetica', 'B', size=16)
+    pdf.cell(w=210, h=9, text="\n", border=0, new_x="LMARGIN", new_y="NEXT", align='C', fill=False)
+
+    pdf.set_font('helvetica', 'B', size=16)
+    pdf.cell(w=210, h=9, text="\n", border=0, new_x="LMARGIN", new_y="NEXT", align='C', fill=False)
+
+    pdf.set_font('helvetica', 'B', size=8)
+    pdf.cell(w=210, h=9, text="\n", border=0, new_x="LMARGIN", new_y="NEXT", align='C', fill=False)
+
+    pdf.set_font('helvetica', 'B', size=14)
+    pdf.cell(w=210, h=9, text="Exam Check-in Form", border=0, new_x="LMARGIN", new_y="NEXT", align='C', fill=False)
+
+    pdf.set_font('helvetica', 'B', size=10)
+    pdf.multi_cell(w=0, h=7, text="This form is to be completed by the proctor. The student must return this \nform along with their seat ticket and all exam materials.\n", border=0,
+                new_x="LMARGIN", new_y="NEXT", align='C', fill=False)
+
+    pdf.set_font('helvetica', 'B', size=10)
+    pdf.cell(w=210, h=9, text="\n", border=0, new_x="LMARGIN", new_y="NEXT", align='C', fill=False)
+
+    pdf.set_font('helvetica', size=13)
+    pdf.multi_cell(0, 7, page_body_list[i])
+
+    pdf.set_font('helvetica', 'B', size=10)
+    pdf.set_xy(145, 270)
+    pdf.cell(w=0, h=5, text="# of Exam Pages: _____")
+
+  pdf.output("/tmp/GraySheets.pdf")
+  return "/tmp/GraySheets.pdf"
+
+def main():
+  st.title("Gray Sheet Generator")
+
+  # File upload
+  uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
+  if uploaded_file is not None:
+    # Process the file
+    df = pd.read_csv(uploaded_file)
+    pdf_path = generate_pdf(df)
+    todays_date = datetime.now().strftime("%m_%d_%Y")
+    filename = f"GraySheets_{todays_date}.pdf"
+
+    # Download button
+    with open(pdf_path, "rb") as file:
+      btn = st.download_button(
+        label="Download Gray Sheet",
+        data=file,
+        file_name=filename,
+        mime="application/octet-stream"
+      )
+
+
+if __name__ == "__main__":
+  main()